Smart Tourism Empowered by Artificial Intelligence

Ferràs, Xavier; Hitchen, Emma L.; Tarrats-Pons, Elisenda; Serrat, Núria Arimany

doi:10.4018/jcit.2020010101

Cited by 24 publications

(10 citation statements)

References 34 publications

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“…It is concerned with network applications. The function, or purpose, of a network management system should be the first step in its development [ 24 ]. The functional requirements are usually to clearly express a network management theme, to accommodate various types of content, and to adapt to various resolutions.…”

Section: Methodsmentioning

confidence: 99%

Tourism Information Management System Using Neural Networks Driven by Particle Swarm Model

Gao

Chai

et al. 2022

Computational Intelligence and Neuroscience

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Based on the concept of “smart tourism,” this paper designs and implements a tourism management information system based on PSO-optimized NN. The foreground tourism web page of the system adopts DIV + CSS mode for page planning and layout, PHP as the client script language, and SQL server as the database to store and analyze user information. At the same time, the system adds personalized components to the user’s search ranking results, so that the routes and scenic spots presented in front of users in the result interface are more in line with users’ consumption habits. In order to verify the performance of the model and algorithm constructed in this paper, several experiments were carried out in this paper. Experimental results show that the prediction accuracy of this algorithm is 94.67% and the recall rate is 96.11%. This algorithm can overcome the disadvantages of traditional algorithms and provide some effective suggestions for tourism management. At the same time, this paper applies the concept of “smart tourism” to specific tourism informatization, which can promote the transformation and upgrading of tourism industry structure and further enhance the overall development level of tourism industry.

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Section: Methodsmentioning

confidence: 99%

Tourism Information Management System Using Neural Networks Driven by Particle Swarm Model

Gao

Chai

et al. 2022

Computational Intelligence and Neuroscience

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“…As it is said, to transform some industry, you must really know it from a perspective that considers all the challenges a business has to face. That is what artificial intelligence does, sensing the whole external information, understanding it, then acting for achieving goals and learning from past experiences (Ferràs et al, 2020). Since tourism industry has always been an early adopter of technology, it has received artificial intelligence with enthusiasm, gradually making its way in a manner of reducing manual practice and simplifying marketing processes.…”

Section: Introductionmentioning

confidence: 99%

Managing Artificial Intelligence as a Driver for Future Tourism

BUŞILĂ¹,

Cristache²

2022

Proceedings of the International Management Conference

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The present paper aims to emphasize how Artificial Intelligence can be managed in tourism industry in order to create a positive impact. Although everyone tends to believe that Artificial Intelligence is only about robots taking over the world, the purpose of this article is to come up with powerful meanings of the cognitive computing benefits. For instance, Artificial Intelligence encompasses a lot of different types of capabilities which can give us a better information to run the tourism businesses, but also to improve the customer’s experience. To make this study much more significant, we conducted a content analysis based on literature review, within Leximancer computer software, which shows us the most important themes and concepts related to Artificial Intelligence in future tourism.

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“…AI is known for its sophisticated computing capabilities as it can deal with complex relations and problems among different concepts (Pannu, 2015) and can easily work with a big amount of data (Inanc-Demir & Kozak, 2019). Broadly speaking, an AI system senses external information, understands these, acts in turn to achieve given goals and learns from its own experiences (Ferràs et al, 2020). AI functions similar to a human brain as it thinks, learns, makes decisions and inferences through given data by using intelligent machines.…”

Section: Introduction "I Believe There Is No Deep Difference Between What Can Be Achieved By a Biological Brain Andmentioning

confidence: 99%

Artificial Intelligence in Tourism: A Review and Bibliometrics Research

Kirtil¹,

Aşkun²

2021

Advances in Hospitality and Tourism Research (AHTR)

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Artificial Intelligence (AI) came up as an ambiguous concept from computer sciences and now it is being used in many areas of our life. It has stimulated academia's interest due to its alternative insights into complex problems. Therefore, a bibliometric method was applied in this study to observe the progress of AI in the tourism field. A total of 102 papers were collected from Scopus database. Key factors such as most productive authors, collaborations and institutions were identified, and research hotspots were determined using co-occurrence network and most common author keywords. Progress of AI was visualized with thematic evolution analysis. Findings indicate that there is a progressive interest in AI after 2017, and average citations signify that papers are highly cited. Since this is the first study conducting a bibliometric on AI in the tourism context, it could be considered useful for academics and tourism professionals as it provides general overview of AI, demonstrates research trends and popular papers.

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Smart Tourism Empowered by Artificial Intelligence

Cited by 24 publications

References 34 publications

Tourism Information Management System Using Neural Networks Driven by Particle Swarm Model

Tourism Information Management System Using Neural Networks Driven by Particle Swarm Model

Managing Artificial Intelligence as a Driver for Future Tourism

Artificial Intelligence in Tourism: A Review and Bibliometrics Research

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